考虑时滞影响的无线传感网络蠕虫病毒自适应检测方法OA北大核心CSTPCD

The worm attacks in wireless sensor networks have certain time delays,and the detection of attacks is difficult.In order to accu-rately detect worms in wireless sensor networks,an adaptive detection method of worms in wireless sensor networks considering the effect of time delay is proposed.A large number of wireless sensor network traffic data are collected,and the dimension of all data is reduced.In the case of delay in network worm attack,PGM-NMF algorithm and clustering analysis method are combined to realize anomaly detec-tion and classification of wireless sensor network nodes,the type of worm attack is judged,and worm virus adaptive detection is realized.The simulation results show that when the delay of worm virus attack is 12 ms,the miss alarm rate of the proposed method is 9.3%,the success rate is 95.50%,the false alarm rate is 0.69%,the missed detection rate is 2.9%,and the average time of worm virus adaptive de-tection is 5.0 s.